The hottest Automation Substack posts right now

And their main takeaways
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Top Technology Topics

✅ The GPT-3 marketing and public relations practitioner

Wadds Inc. newsletter • 59 implied HN points • 12 Jan 23
🕹 Technology Automation
  1. AI tools like GPT-3 can help with content creation, but you must fact-check the information they give you. Sometimes they can mix reality with fiction.
  2. GPT-3 can quickly summarize text and analyze topics, which is helpful for tasks in public relations and marketing. This makes work faster and easier.
  3. However, there's a risk of spreading misinformation if we rely too much on these tools. It's important to be careful and ensure content is accurate.

They're Lying To You About AI Agents

Theology • 29 implied HN points • 30 Jan 25
🕹 Technology Automation
  1. Businesses need to understand their own processes before using AI. If they don't know how things work, they can't expect AI to help them effectively.
  2. Using many different AI agents can make things more complicated, not easier. It could create a messy system that is hard to manage.
  3. AI agents can't replace human intuition or creativity. They follow strict rules and won't come up with new ideas or solutions.

Why the Future of Engineering Is Still Human

ppdispatch • 13 implied HN points • 08 Jul 25
🕹 Technology Automation
  1. AI is changing the way software is developed. It's making coding easier and faster, but we still need skilled humans to manage and check the work.
  2. Even with AI tools, human expertise is crucial. Writers and engineers often have to fix mistakes made by AI, which creates more job opportunities.
  3. The biggest challenges in coding are understanding and collaborating, not just writing the code. Good teamwork and trust among developers are still very important.

CSV to PDF: Prompting GPT-4 For Automatic Data Viz Report Creation

Data at Depth • 19 implied HN points • 20 Nov 23
🕹 Technology Automation
  1. GPT-4 can now create PDF reports with charts and maps from data you provide, offering a quick and efficient way to visualize data.
  2. The interface of GPT-4 has recently been updated, showcasing new capabilities like generating PDF files on the fly.
  3. Consider subscribing to Data at Depth for more insights and a 7-day free trial to explore the full post archives.

Gloves off, knives out

davidj.substack • 11 implied HN points • 23 Jul 25
🕹 Technology Automation
  1. Anthropic stopped Windsurf from using their Claude models, which upset many users. This means people need to find other tools for their AI coding tasks.
  2. After a failed acquisition attempt by OpenAI, Windsurf ended up being bought by Cognition. This change could lead to better tools for software engineering using AI.
  3. Windsurf can now use all Anthropic models again under Cognition, bringing them back to where they started, but many changes have occurred since.
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LangChain & LLM Based Autonomous Agents

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 26 Apr 23
🕹 Technology Automation
  1. Large Language Models (LLMs) can be programmed with reusable prompts. This helps in integrating them into bigger applications easily.
  2. Creating chains of interactions allows LLMs to work together in a structured way for more complex tasks.
  3. Agents can operate independently, using tools to find answers without being stuck to a fixed plan, making them more flexible.

Grok 4, 4KAgent, Moonvalley’s Marey, Devstral Medium, open-source AI robot, SmolLM3, FlexOlmo, Phi-4-mini-flash-reasoning, Trae Agent, Genspark AI Docs + AI Pods, Comet, FlexOlmo and more

AI Brews • 12 implied HN points • 11 Jul 25
🕹 Technology Automation
  1. Grok 4 is a new AI model that performs really well on tests, scoring impressively compared to others. It's like having a super smart study group that works together to solve problems.
  2. Mistral has upgraded their AI models to improve performance and cost efficiency, with some models now available through an easy-to-use API. This means developers can access powerful AI tools more easily.
  3. There are many exciting new projects and products in AI, including a robot for creative coding and an AI browser that can help with tasks, showing how AI is becoming more useful in everyday life.

Entrust mis-issues a certificate, Refuses To Follow CA/B Rules

Musings about WebPKI and Public Trust • 8 HN points • 15 Mar 24
🕹 Technology Automation
  1. Certificate Authorities can face incidents like misissuance or non-issuance, with misissuances often caused by human error or software bugs.
  2. Baselining Requirements set by the CA/B forum provide rules for dealing with certificate misissuances, including the timeline for revocation.
  3. Entrust's recent incident highlights a misissuance dilemma, where they continued misissuing certificates and refused to follow the proper revocation process, impacting thousands of Extended Validation certificates.

Why AI Won't Cause Unemployment

Marc Andreessen Substack • 163 HN points • 04 Mar 23
🕹 Technology Automation
  1. Throughout history, fears of technology causing unemployment have not matched reality in capitalist economies.
  2. AI may face barriers due to regulations that already make technology illegal in many sectors of the economy.
  3. Sectors heavily regulated by the government see rising prices without technological innovation, while less regulated sectors witness falling prices due to technological advancement.

Where is the autonomy in AI?

Sunday Letters • 19 implied HN points • 06 Nov 23
🕹 Technology Automation
  1. AI models like large language models need human guidance to perform tasks effectively. Humans help by providing prompts and correcting errors.
  2. Even complex tasks require a lot of human involvement. AI can't work fully independently; it can't just be told to 'write a book' without further instruction.
  3. There is still a long way to go in developing AI that can handle complex, open-ended problems alone. Current systems struggle with autonomy and can't yet replicate human planning and organization.

Deskilling on the Job

Data: Made Not Found (by danah) • 145 implied HN points • 21 Apr 23
🕹 Technology Automation
  1. AI can lead to deskilling on the job, affecting pilots, surgeons, and other professions.
  2. Training has shifted from on-the-job to expecting skills at hiring, creating gaps in talent and opportunity.
  3. Efficiency with technology should balance quality and quantity, avoiding deskilling highly skilled professionals.

Robot Revolution?

Daniel Pinchbeck’s Newsletter • 14 implied HN points • 31 May 25
🕹 Technology Automation
  1. AI is taking over many jobs, especially in tech and creative fields, causing big layoffs and making it hard for new graduates to find work.
  2. There’s a growing concern that AI could create a rich vs. poor divide where a few tech owners become extremely wealthy while most people become jobless and struggle to get by.
  3. To address these changes, we need new ideas about how society should work, moving away from just making money to focusing on community, creativity, and ensuring everyone has what they need.

Accelerationist Means for Vitalist Ends

From the New World • 75 implied HN points • 04 Mar 24
🕹 Technology Automation
  1. Technology has historically eliminated dangerous jobs and enabled improvements in quality of life, challenging the assumption that automation always eliminates meaningful work.
  2. Conservatives should not let nostalgia cloud their vision of a more prosperous and human future driven by current technological advancements like artificial intelligence.
  3. The last 20 years of automation may be considered a historical anomaly, and current technologies are aimed at reducing mundane tasks rather than eliminating meaningful work.

Weekly Dose of Optimism #82

Not Boring by Packy McCormick • 74 implied HN points • 23 Feb 24
🕹 Technology Automation
  1. Google introduced Gemma, a family of open models inspired by its Gemini technology, now available to developers, signaling openness in AI safety.
  2. MEGA is a new CRISPR tool that targets RNA instead of DNA for more precise and reversible cell therapy design, potentially leading to safer gene editing.
  3. Significant events in space this week included Varda's capsule return, Intuitive Machine's lunar landing, Blue Origin's New Glenn rollout, and a former Disney star becoming a space data company CEO.

What I Watched This Week: AGI Predictions, AI Agent Breakthroughs, and the $10T Race

The Product Channel By Sid Saladi • 10 implied HN points • 21 Jul 25
🕹 Technology Automation
  1. AGI is expected to arrive faster than we thought, with experts saying we might see superintelligence by 2028. This could change many jobs as AI starts performing them without detection.
  2. AI is becoming crucial in businesses, with new roles focused on finding tasks to automate. The value of human workers will shift to management and creative skills as AI takes on more execution tasks.
  3. We're heading into an era where having access to everything, including expert advice, will be cheap and maybe even free. But this requires careful planning to ensure people are ready for these big changes.

CISA’s Take on Vulnerability Prioritization and Management

Resilient Cyber • 59 implied HN points • 22 Nov 22
🕹 Technology Automation
  1. CISA emphasizes using machine-readable formats for security advisories to help organizations quickly understand and respond to vulnerabilities. Automating this process can speed up how fast companies act against threats.
  2. The Vulnerability Exploitability eXchange (VEX) helps organizations know if a vulnerability affects their products. This allows them to focus on the most critical risks rather than wasting time on ones that don't impact them.
  3. CISA's Stakeholder Specific Vulnerability Categorization (SSVC) helps organizations prioritize which vulnerabilities to address based on impact and urgency. It guides decision-making with a structured approach to risk management.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Zero-day Exploits with Microsoft Sentinel

Rod’s Blog • 19 implied HN points • 10 Oct 23
🕹 Technology Automation
  1. Zero-day exploits are dangerous because they exploit unknown software vulnerabilities and can have severe consequences like data breaches and system disruptions.
  2. To protect against zero-day exploits, organizations can monitor reported vulnerabilities, install next-generation antivirus solutions, perform rigorous patch management, segment networks with firewalls, and deploy advanced endpoint protection solutions.
  3. Microsoft Sentinel, a cloud-native SIEM solution, can help organizations protect against zero-day exploits by collecting data at cloud scale, detecting threats with analytics and intelligence, and investigating and responding with automation and orchestration.

Fighting Attrition in Indian IT with Generative AI

Sector 6 | The Newsletter of AIM • 19 implied HN points • 08 Oct 23
🕹 Technology Automation
  1. Attrition, or employee turnover, is a big issue for Indian IT companies, with rates around 20%. Generative AI could help lower this number and support a better work culture.
  2. Many employees leave because their skills aren't recognized or used properly by their employers. Companies need to understand and address skill gaps.
  3. Using generative AI can help employers predict future skills needed, making it easier to keep employees engaged and satisfied.

To code or not to code?

Augmented • 19 implied HN points • 24 Feb 23
🕹 Technology Automation
  1. AI tools like ChatGPT are enhancing coding skills efficiently.
  2. ChatGPT empowers novice programmers instantly, boosting efficiency.
  3. Automation in coding may replace the need for human programmers in the future.

OpenAI crosses the Zapier Barrier

Automatter • 19 implied HN points • 24 Mar 23
🕹 Technology Automation
  1. Generative AI like ChatGPT is evolving fast with new features and capability.
  2. OpenAI integration on Zapier allows for scalable deployment and automation.
  3. We are approaching a future where AI can create new processes in response to data, which may lead to significant impact.

Trusted #003 - The Promise and The Peril of Agentic AI

Trusted • 19 implied HN points • 18 Apr 23
🕹 Technology Automation
  1. The emergence of agentic AI is on the horizon, with potential benefits and risks to consider.
  2. Current use cases of narrow agentic AI include high-frequency trading, fraud detection, and defense systems.
  3. As agentic AI advances, there is a need to prepare for potential negative outcomes like loss of human control and unforeseen incidents.

Ansible Tips and Tricks

Certo Modo • 19 implied HN points • 03 Oct 23
🕹 Technology Automation
  1. Organize your Ansible files by following a recommended directory structure. This helps keep things structured and manageable as your project grows.
  2. Avoid putting secrets like credentials directly into variable files. Use Ansible Vault to encrypt sensitive information, maintaining security.
  3. Utilize tools like Ansible-Lint for verifying playbook syntax, and the --check option in ansible-playbook for 'dry-runs' to catch errors before affecting production.

Tako: TikTok's Chatty AI Sidekick!

aidaily • 19 implied HN points • 29 May 23
🕹 Technology Automation
  1. TikTok is testing an AI chatbot called Tako for fun banter while watching videos.
  2. AI is entering the field of therapy, providing a digital listening ear and possible solutions.
  3. Grimes is exploring AI-generated music, hinting at a futuristic collaboration between human and machine.

Microsoft X AI - A Match Made in Tech Heaven

aidaily • 19 implied HN points • 25 May 23
🕹 Technology Automation
  1. Microsoft and AI are teaming up to redefine Windows 11 with groundbreaking features like Windows Copilot and Dev Home.
  2. AI-powered automation is enhancing work-life by taking over mundane tasks, giving employees more time for fulfilling work.
  3. AI is revolutionizing healthcare by improving patient care through analyzing medical records, robotic surgeries, and more.

Large language models in security

Davis Treybig • 19 implied HN points • 15 Apr 23
🕹 Technology Automation
  1. Large language models (LLMs) are being used in security for tasks like logs analysis and incident response.
  2. LLMs are changing the landscape of traditional static analysis tools in cloud and application security.
  3. LLMs have the potential to automate processes like vendor security questionnaires and enhance engineer-oriented security workflows.

Algorithmic Bitcoin Mining

nicosmid • 19 implied HN points • 04 Apr 23
🕹 Technology Automation
  1. Algorithmic Bitcoin mining automates tasks for increased efficiency and less human intervention.
  2. Real-time data is used to optimize mining operations.
  3. Benefits of algorithmic mining include efficiency, reduced energy consumption, and improved hardware health.

How I started with the Power Platform

Power Platform News • 19 implied HN points • 05 Aug 23
🕹 Technology Automation
  1. The user shares their journey of building a Powerapps application to track multiple sites and divisions, showcasing the power of Power Platform in simplifying complex tasks.
  2. They found Microsoft Powerapps to be a user-friendly solution for building applications, especially when integrated with SharePoint Online lists for data management.
  3. By optimizing user onboarding through automation with Power Automate, they efficiently scaled to onboard 700 users in a week, demonstrating the importance of streamlining processes for user support.

The Coming War Over The Technosphere

The Future of Life • 19 implied HN points • 08 Sep 23
🕹 Technology Automation
  1. There is a growing concern about dangerous technologies being created by individuals, which could pose serious threats to society. We need to be aware of these risks and create systems to protect ourselves.
  2. As technology advances, there will be a divide between people who see tech as a danger and those who believe it can solve problems. This conflict will shape how we approach technological progress.
  3. A strong defense against harmful technologies and agents is essential. We should develop protective measures, like intelligent filters, to keep ourselves safe from potential dangers in the technosphere.

Meta Activates Code Llama

Sector 6 | The Newsletter of AIM • 19 implied HN points • 18 Aug 23
🕹 Technology Automation
  1. Meta is launching a new tool called Code Llama, which is an auto-code generator similar to OpenAI's Codex.
  2. Code Llama will be based on an open-source platform, allowing businesses to create their own AI coding assistants.
  3. Companies can upload their private code to Code Llama, enabling it to generate specialized code from their existing projects.

#OpenSourceDiscovery 75: AutoGPT

#OpenSourceDiscovery • 19 implied HN points • 23 Apr 23
🕹 Technology Automation
  1. AutoGPT is a Python script that autonomously chains together GPT responses to achieve a set goal
  2. Text to speech feature in AutoGPT helps users follow along without constantly looking at the screen
  3. Limitations of AutoGPT include token limits with OpenAI GPT APIs, lack of headless browser support, and potential security risks

Mommy, daddy, is ChatGPT going to automate your jobs? | Roundup #18

Workonomics • 19 implied HN points • 28 Mar 23
💼 Business Automation
  1. A study found that higher-wage jobs have a higher exposure to automation than lower-wage jobs.
  2. A tight labor market has helped reduce inequality by increasing wages for low-wage workers more than high-wage workers.
  3. Different states have proposed various gig economy regulations, such as requiring gig platforms to show drivers how much they were paid and provide benefits like minimum wage and sick time.

Self-Improving AI Coding Agents in 5 Minutes

Retrieve and Generate • 11 implied HN points • 26 Jun 25
🕹 Technology Automation
  1. AI coding agents can struggle with tasks and make mistakes. It's not just the AI's fault; many parts of the system can contribute to these errors.
  2. You can help your AI coding agent improve itself by capturing its logs, asking it to find errors, and fixing those issues. This process can make the agent more reliable and faster.
  3. Running specific benchmarks regularly can help track your AI's performance over time. This way, you can spot any problems early and improve the system continuously.

What is DarkBERT?

The PhilaVerse • 123 implied HN points • 24 May 23
🕹 Technology Automation
  1. DarkBERT is a large language model designed for the Dark Web.
  2. It excels in ransomware leak detection, notable thread detection, and threat phrase inference.
  3. Automating analysis with DarkBERT could reduce the workload of cybersecurity specialists.

SaaVings and Snake Oil

davidj.substack • 71 implied HN points • 07 Feb 24
💼 Business Automation
  1. Invest in tooling to improve productivity before investing in labor.
  2. Consider the cost effectiveness of tools versus hiring when making business decisions.
  3. Efficient tooling can increase a team's productivity and offset the need for additional labor.

JPMorgan's AI Chatbot to Replace Research Analysts 😳

Sector 6 | The Newsletter of AIM • 1 HN point • 30 Jul 24
🕹 Technology Automation
  1. JPMorgan has introduced an AI chatbot named LLM Suite to assist its employees in idea generation and document summarization. This means that many tasks traditionally done by research analysts may now be handled by AI.
  2. About 15% of JPMorgan's workforce in asset and wealth management will use this AI, showcasing the bank's large investment in artificial intelligence. It shows how serious the company is about improving efficiency with technology.
  3. JPMorgan is not new to using AI, as they already have over 300 AI projects. This AI push is part of a broader trend in the finance sector to integrate advanced technology into everyday operations.

The AI Supernova

Perspective Agents • 24 implied HN points • 15 Jan 25
🕹 Technology Automation
  1. AI is changing how we work and learn. Jobs will focus more on things like emotional intelligence and problem-solving instead of routine tasks.
  2. There is a big gap between those who understand and use AI effectively and those who don't. This gap can lead to businesses being left behind if they don't adapt.
  3. Whether it's through simulations or understanding people's feelings, human touch will always matter. Genuine moments of connection can outshine machines, even if they seem perfect.